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To find the total number of routes from city A to city C passing through city B, we multiply the number of ways to go from city A to city B (4 roads) by the number of ways to go from city B to city C (2 roads).Thus, the total number of possible routes is:4×2=8 … Read more
The total number of possible telephone numbers is determined by the number of possible combinations for the last 7 digits. Each of the 7 digits can be any number from 1 to 9 for the first digit (9 choices) and any number from 0 to 9 for the remaining six digits (10 choices each).Thus, the … Read more
We need to think computationally because it helps in breaking down complex problems into simpler, solvable parts, making it easier to find solutions. Computational thinking promotes efficiency and creativity in problem-solving and is essential in today’s digital world, where many fields, such as science, engineering, and economics, rely on computer-based models and simulations to tackle … Read more
Three computing problems from other subjects could include: Mathematics: Solving algebraic equations or finding the roots of polynomials, which can be done using algorithms. Physics: Simulating physical systems or solving problems related to motion using computational models. Economics: Analyzing large sets of economic data to predict market trends or model economic behaviors using machine learning … Read more
The computational thinking technique that breaks down a problem into smaller parts is Decomposition. Decomposition involves dividing a complex problem into smaller, more manageable sub-problems that can be solved individually. This makes it easier to focus on specific aspects of the problem and work through them systematically. Related Questions: What is the major difference between … Read more
The methods used to design a solution include: Flowcharts: Diagrams that represent the steps of a process in a sequential manner. Pseudocode: A textual representation of the steps of an algorithm, written in an easy-to-understand format. IPO Charts: Diagrams that show the input, process, and output of a program. Prototyping: Creating an early model or … Read more
The four properties of computational thinking are: Decomposition: Breaking down complex problems into smaller, more manageable parts. Pattern Recognition: Identifying similarities or trends within the data or problem. Abstraction: Simplifying a problem by focusing on the important details while ignoring unnecessary complexity. Algorithm Design: Creating step-by-step instructions (algorithms) to solve a problem or perform a … Read more
Software designers prefer using IPO (Input-Process-Output) charts because they provide a simple and clear way to visualize the flow of a program. IPO charts help in identifying the data needed for the program (input), the operations or processes that must be performed on that data (process), and the result that is produced (output). This structured … Read more
The major difference between simple and complex problems lies in the scope and number of variables involved. Simple problems usually have clear, straightforward solutions that require less time and effort to solve. Complex problems, on the other hand, have multiple components, uncertain factors, or a variety of constraints, making them more difficult to solve. Solving … Read more